Journals / Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi / 2010 / Cilt: 3 - Sayı: 2

1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi.

Pages
119–134
Publication Date
2010-08-01
DOI
—
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AI Summary & Key Takeaways

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⚡ TL;DR(Too Long; Didn't Read)

Moreover at the end of study, it has found that total risk of indices is lower then total risk of individual stocks and systematic risk of indices is higher than unsystematic risks of them.

📌 3 Key Takeaways

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Objective & Hypothesis:The ultimate purpose of this study is to investigate the validity of the expectation that risk of indices, as a proxy of portfolio risk, lower than individual risks of bank stocks based on the Markowitz Portfolio Theory in Turkish Banking Sector for the period 1997:04 – 2010:04.
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Key Findings & Data:According to this ultimate purpose, first it is determined total risk and its systematic and unsystematic risk components of Banking Sector in Turkey using standard methods and time series analysis.
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Conclusion & Impact:Moreover at the end of study, it has found that total risk of indices is lower then total risk of individual stocks and systematic risk of indices is higher than unsystematic risks of them.
🔬Design:Modeling & Simulation
📍Scope:2010 Verileri
⚙️Variables:Bankacılık Sektörü · Sistematik Risk · Sistematik Olmayan RiskJEL sınıflaması: G11

Abstract

The ultimate purpose of this study is to investigate the validity of the expectation that risk of indices, as a proxy of portfolio risk, lower than individual risks of bank stocks based on the Markowitz Portfolio Theory in Turkish Banking Sector for the period 1997:04 – 2010:04. According to this ultimate purpose, first it is determined total risk and its systematic and unsystematic risk components of Banking Sector in Turkey using standard methods and time series analysis. Second it is compared to risk of indices lower than individual risks of bank stocks. Risks have been calculated by ARMA and ARCH type models based on time series analysis as well as standard risk measuring methods and results of the study have showed that in general unsystematic risk of individual stocks higher than systematic risk of these. Moreover at the end of study, it has found that total risk of indices is lower then total risk of individual stocks and systematic risk of indices is higher than unsystematic risks of them.

Özet

Bu çalışmanın temel amacı, Markowitz Portföy Teorisi’nin öngördüğü şekilde portföy riskinin, tek tek hisse senetlerinin risklerine göre daha az olması beklentisinin 1997:04 – 2010:04 dönemi Türk Bankacılık Sektörü için de geçerli olup olmadığını ortaya koymaktır. Bu temel amaç doğrultusunda ilk olarak Türk Bankacılık Sektörü’nün sahip olduğu toplam risklerin ve toplam riski oluşturan sistematik ve sistematik olmayan risk bileşenleri standart yöntemler ve zaman serisi modellerine dayanan yöntemlerle hesaplanmıştır. Daha sonra banka hisse senedi getirilerinin sahip olduğu risk ile bu hisse senetlerinden oluşan portföy niteliğindeki bankacılık sektörü endeks getirilerinin riski karşılaştırılmıştır. Klasik standart sapma ve varyans gibi ölçümler yanında, ARMA ve ARCH tipi modeller gibi zaman serisi analizlerine dayanan hesaplamalarla risk ölçümlerinin gerçekleştirildiği çalışmanın sonucunda tek hisse senetleri için, her iki yöntemle de hesaplanan sistematik olmayan risklerin genellikle sistematik risklerinden daha büyük olduğu bulunmuştur. Ayrıca, portföy niteliği taşıyan endeks getirilerinin toplam riskleri, tek tek hisse senetlerinin toplam risklerinden daha düşük olup, sistematik risklerinin, sistematik olmayan risklerinden daha yüksek olduğu tespit edilmiştir.

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Cite This Article

KÖSEOĞLU, S. D. (2010). 1997-2010 Dönemi Türk Bankacılık Sektörü Risk Analizi.. Ömer Halisdemir Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, Cilt: 3 - Sayı: 2, 119–134. https://ajindex.com/articles/156083

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References (16)

  1. BEAVER, William, KETTLER, Paul, SCHOLES, Myron (1970), “The Association Between Market Determined and Accounting Determined Risk Measures”, The Accounting Review, 45, ss.654-682
  2. BLUME, Marshall (1971), “On the Assessment of Risk,” Journal of Finance, 26, ss.1-10.
  3. BLUME, Marshall (1975), “Betas and Their Regression Tendencies,” Journal of Finance, 30, ss.85-95.
  4. BOLAK, Mehmet (1991),
  5. Sermaye Piyasası, Menkul Kıymetler ve Portföy Analizi, İstanbul.
  6. BOLLERSLEV, Tim (1986) “Generalized Autoregressive Conditional Heteroskedasticity,” Journal of Econometrics, 31, ss. 307-327.
  7. BOLLERSLEV, Tim, WOOLDRIDGE Jeffrey M. (1992), "Quasi-Maximum Likelihood Estimation and Inference in Dynamic Models with Time Varying Covariances," Econometric Reviews, 11, ss.143-172.
  8. BROOKS, Chris (2008), Introductory Econometrics for Finance, 2.bs., The ICMA Centre, University of Reading, Cambridge Universty Press CAMPBELL, John Y., LETTAU, Martin, MALKIEL, Burton G, XU, Yexiao (2001), “Have Individual Stocks Become More Volatile? An Empirical Exploration of Idiosyncratic Risk”, Journal of Finance, 56, ss.1-43
  9. COHEN, K. J. HAWAWİNİ G.A., MAJER, S. F., SCHWARTZ, R. A., WHİTCOMB, D. K. (1980), “Implications of Microstructure Theory for Empirical Research on Stock Price Behavior”, The Journal of Finance, 35(2), ss.249-257
  10. DAMADORAN, Aswath (2002), Investment Valuation: Tools and Techniques for determining The Value of Any Asset, 2nd ed., John Wiley & Sons, New York, 2002.
  11. DOĞUKANLI, Hatice, SONGÜL, Kakili Acaravcı, KANDIR, Serkan Yılmaz (2002), “ İMKB Mali Sektör Şirketleri’nin Sistematik ve Sistematik Olmayan Risklerinin İncelenmesi”, İMKB dergisi, 6(24), SS.1-15
  12. DURNEY, A., MORCK, R. and YOUNG, B. ( 2000), “Does firm-specific information in stock prices guide capital allocation?”, Working paper. DURNEY, A., MORCK, R., YOUNG, B. and ZAROWIN, P. ( 2003), “Does greater firmspecific return variation mean more or less informed stock pricing?” Journal of Accounting Research 41, ss.797–836.
  13. ENGLE, Robert (1982) "For Methods of Analyzing Economic Time Series With TimeVarying Volatility (ARCH)". GRIFFTHS, William E., HILL, R. Carter, LIM, Guay C. (2008), Using Eviews for Principles of Econometrics, 3rd ed., John Wiley&Sons Inc GUJARATİ, Damador (1999),
  14. Temel Ekonometri, Çevirenler Ümit Şenesen, Gülay Günlük Şenesen, 1.bs, Literatür Yayınları,
  15. İstanbul KADILAR, Cem (2005), SPSS Uygulamalı Zaman Serileri Analizine Giriş, Hacettepe Üniversitesi,
  16. Fen Fakültesi, İstatistik Bölümü, Ankara LEVHARI, Davi